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JAVA版本的支持向量机(SVM)处理器。可配置参数。-JAVA version of the Support Vector Machine (SVM) processors. Configurable parameters.
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LIBSVM支持向量机训练程序JAVA版-LIBSVM Support Vector Machine Training program JAVA version
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LIBSVM支持向量机数据处理JAVA版-LIBSVM Support Vector Machine Data Processing JAVA version
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LIBSVM支持向量机数据检查程序Python版-LIBSVM Support Vector Machine Python version of the data screening procedures
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Support Vector Machine with java
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java program for Support Vector Machine
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Support vector machine
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详细介绍了基于支持向量机的文本分类方法,做文本分类的朋友快下-Described in detail in the text based on support vector machine classification, text classification made friends quickly under
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SVM (support vector machine) using java programming
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这是一款基于java和python实现svm支持向量机的算法源代码,可以实现对任意点阵的分类,效果非常明显-This is a based on java and python svm support vector machine algorithm source code, you can achieve the classification of any dot matrix, the effect is very obvious
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支持向量机SVM(Support Vector Machine)作为一种可训练的机器学习方法,依靠小样本学习后的模型参数进行导航星提取,可以得到分布均匀且恒星数量大为减少的导航星表-Support Vector Machine SVM (Support Vector Machine) as a trainable machine learning methods, relying on small samples after learning Navstar extract model para
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支持向量机SVM的SMO算法的JAVA实现版本, 有线性内核和非线性BRF两个内核的算法-The SMO support vector machine SVM algorithm JAVA implementation version, linear and non-linear BRF two core kernel algorithm
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支持向量机算法实现,Support vector machine algorithm implementation.-Support vector machine algorithm implementation
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多文本分类,有数据集,中文文本,支持向量机的-Text classification, data sets, the Chinese text, the support vector machine (SVM)
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Isodata iterative self-organizing data analysis, matlab development toolbox support vector machine, Based on matlab platform.
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matlab development toolbox support vector machine, Various resource allocation algorithm, Target can be extracted in a picture you want.
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matlab development toolbox support vector machine, Calculate the maximum eigenvalue judgment matrix of AHP, Simulation of doubly fed induction generator system.
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Of spherical harmonics graphic simulation, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, matlab development toolbox support vector machine.
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支持向量回归机的Java代码 可以进行预测(It is the Java code of the support vector regression machine .It can predict unknown data.)
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包含很多知名算法实现,支持向量机,决策树,粗糙集,贝叶斯分类器等,适合学术研究,短评论意见挖掘,文本分类等(It includes many well-known algorithm implementation, support vector machine, decision tree, rough set, Bias classifier, etc., which is suitable for academic research, short comment mining, text c
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